138
Voted
ICML
16 years 1 months ago
2008 IEEE 
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
100
Voted
ICML
16 years 1 months ago
2008 IEEE  96
Voted
ICML
16 years 1 months ago
2008 IEEE ICML
16 years 1 months ago
2008 IEEE 
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
96
Voted
ICML
16 years 1 months ago
2008 IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
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Machine Learning